Skip to contentSkip to footer
  • Community
  • Jobs
  • Companies
  • Salaries
  • For employers
      Notifications

      Loading...

      Elevate your career

      Discover your earning potential, land dream jobs, and share work-life insights anonymously.

      employer cover photo
      employer logo
      employer logo

      Faculty.ai

      Engaged employer

      About
      Reviews
      Pay and benefits
      Jobs
      Interviews
      Interviews
      Related searches: Faculty.ai reviews | Faculty.ai jobs | Faculty.ai salaries | Faculty.ai benefits
      Faculty.ai interviewsFaculty.ai Senior ML Engineer interviewsFaculty.ai interview


      Glassdoor

      • About / Press
      • Awards
      • Blog
      • Research
      • Contact Us
      • Guides

      Employers

      • Free Employer Account
      • Employer Centre
      • Employers Blog

      Information

      • Help
      • Guidelines
      • Terms of Use
      • Privacy and Ad Choices
      • Do Not Sell Or Share My Information
      • Cookie Consent Tool
      • Security

      Work With Us

      • Advertisers
      • Careers
      Download the App

      • Browse by:
      • Companies
      • Jobs
      • Locations
      • Communities
      • Recent posts

      Copyright © 2008-2026. Indeed, Inc. "Glassdoor," "Worklife Pro," "Bowls" and logo are proprietary trademarks of Indeed, Inc.

      Company Bowl sample

      Want the inside scoop on your own company?

      Check out your Company Bowl for anonymous work chats.

      Bowls

      Get actionable career advice tailored to you by joining more bowls.

      Followed companies

      Stay ahead in opportunities and insider tips by following your dream companies.

      Job searches

      Get personalised job recommendations and updates by starting your searches.

      Senior ML Engineer Interview

      Jun 30, 2026
      Anonymous interview candidate
      No offer
      Positive experience
      Average interview

      Application

      I applied through a staffing agency. I interviewed at Faculty.ai in Jun 2026

      Interview

      Second stage interview involves building a Fast API app that sends a request to an ML model hosted on Hugging Face Hub and returning a response. There are several parts to the question, with each part increasing in difficulty.

      Interview questions [1]

      Question 1

      How would you deploy this into production.
      Answer question

      Other Senior ML Engineer interview reviews for Faculty.ai

      Senior ML Engineer Interview

      Jul 4, 2026
      Anonymous interview candidate
      London, England
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at Faculty.ai (London, England)

      Interview

      Initially there was a screening call with the HR, paired programming round with a couple of their engineers. The paired programming was more of code debugging and building a service. The interview started off a little slow I was a little intimidated to have two engineers in the call. But once I got into the Rythm things were alright.

      Interview questions [1]

      Question 1

      How would I debug the code to make it work to match the use case they had in their code. There were multiple modules that were expected to solve as much as possible. Plenty of questions around production and devops as well.
      Answer question

      Senior ML Engineer Interview

      Feb 23, 2026
      Anonymous interview candidate
      London, England
      No offer
      Negative experience
      Easy interview

      Application

      I applied through a recruiter. I interviewed at Faculty.ai (London, England) in Feb 2026

      Interview

      First step a simple request - response development exercise with the libraries of their choice. Simple and standard questions, not much depth. Discussion was suggested but clearly penalised. They suggest to ask questions but they take it as "not experienced enough". Second step a simple software design, walk through the plan in detail. Poor time management only discussed 2 out of 5 steps, obviously i got penalised.

      Interview questions [1]

      Question 1

      1st step: - Develop an endpoint with FastAPI and Pydantic for the serialization. - How would you deploy it? 2nd step: - Design a system that ll upload and process a video. - How would you scale it?
      Answer question
      1